3 Challenges You Didn’t Know You Had That Search & AI Can Solve
What if the biggest barrier to productivity isn’t finding information… it’s knowing where to begin?
Most organisations are sitting on a goldmine of knowledge. Years of project work, customer insights, strategic decisions, community engagement activities, reports, briefings and lessons learned are all carefully stored away.Â
The problem? Most people only access a fraction of it.
Traditional records management systems work brilliantly when you know exactly what you’re looking for. You know the document name. You know where it lives. You know which team created it. But what happens when you don’t? What happens when you need context, not just content?
That’s where Search & AI changes the game.
Here are three surprisingly common workplace challenges that many organisations accept as “just the way things are” that can actually be solved with intelligent search.
1. The New Starter Knowledge Gap
Every organisation experiences it.
A new team member joins, attends induction, meets the team, reads documentation and starts getting familiar with their role. Yet despite everyone’s best efforts, there’s one thing that takes months to build:
Organisational context.
How did this project start? Why was a particular decision made? What’s the history behind a long-running program? Who has already engaged with stakeholders on this issue? Traditionally, answering these questions involves digging through files, asking colleagues, or relying on institutional knowledge held by a handful of experienced staff.
With Search & AI, new starters can have a conversation with the information already held within the organisation. Instead of searching for individual documents, they can ask questions such as:
“Summarise the history of the National Parks Hiking Trail Program.” or “What community engagement activities have been undertaken in relation to national park walking trails?”
Rather than receiving hundreds of documents to sift through, they receive meaningful insights and summaries drawn from the organisation’s existing records.
The result? Team members become productive faster, understand context sooner and spend less time interrupting colleagues with “just one quick question”.
2. The “I Know We Have It Somewhere” Problem
We’ve all done it. You know the information exists, you just have no idea where. Was it in SharePoint? Teams? Email? Content Manager? A project site? A network drive?
Modern workplaces have more information than ever, spread across more repositories than ever. Ironically, having so much information can make it harder to find what you need. Many people spend valuable time searching multiple systems before they even start working on the actual task.
Search & AI removes this friction by creating a more natural starting point. Instead of needing to know where information lives, users can focus on what they need to know. Search first, refine later. It’s a subtle shift, but an important one. Rather than navigating systems, teams can focus on discovering knowledge. Once relevant information is surfaced, they can drill deeper into the source records and repositories as needed.
3. You’re Searching for Data When You Really Need Information
This may be the biggest challenge of all. Most searches are built around keywords. People search for words and receive documents that contain those words, but that’s not always what they’re actually looking for.
Imagine you’re preparing a ministerial briefing on the proposed redevelopment of the Maribyrnong River Trail. A traditional search might involve combinations of:
- Maribyrnong
- River
- Trail
The results could be dozens, hundreds, or even thousands of documents containing those terms. Useful? Maybe. Efficient? Not really. What you’re actually looking for is understanding.
You want to know:
- What has happened so far?
- Which decisions have been made?
- What documentation exists?
- What conversations have taken place?
- What information is most relevant to the briefing?
With Search & AI, users can pose questions in natural language, such as:
“Give me a list of all documents relating to the proposed redevelopment of the Maribyrnong River Trail.”
The difference is significant. Instead of matching keywords alone, AI helps surface meaning, context and relationships between information. You start with information, not just data. And when decision-makers need answers quickly, that distinction matters.
From Records to Insights
In my experience, most organisations don’t have an information problem, they have an access problem.
Content Manager works well when you know exactly what you’re looking for. But people don’t always think in document titles, file numbers or keywords. Often, they’re trying to understand a topic, explore an issue, or find context.
That’s where Search & AI changes the experience. Instead of returning a list of documents, it helps people uncover meaning, connect information and get answers faster through a natural conversation.
The Bigger Question
The real question isn’t whether your organisation has the information it needs. It’s whether people can easily find, understand, and act on that information when it matters most.
When people can ask questions instead of hunting for files, the knowledge already sitting within your records becomes far more valuable.
About the Author
David Churchland is Product Owner at Kapish and a long-time Content Manager specialist passionate about helping people access, understand, and get more value from the information stored within their records systems
Want to See Search & AI in Action?
Contact the Kapish team to learn how you can make organisational knowledge easier to find, understand, and use.
